JP2003230160A - Color picture saturation adjustment apparatus and method therefor - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a color picture saturation adjustment apparatus and a method therefor. <P>SOLUTION: A saturation value for each pixel in an input picture is calculated. By use of the calculated saturation value, a peak saturation value corresponding to the maximum saturation of the input picture, and an average saturation value as well, are calculated. A peak gain is calculated based on the peak saturation, and also a local gain is calculated based on the average saturation in which each saturation value of the individual pixel is considered. The saturation of the input picture is adaptively adjusted, considering the calculated peak gain, the calculated local gain, and a gain based on whether the input picture is a test pattern picture or a picture corresponding to a skin-color region. <P>COPYRIGHT: (C)2003,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a color image saturation adjusting apparatus and method, and more particularly, to a digital T.
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a saturation adjusting device and method for adjusting the color saturation of an input image in a V, Photoshop, digital camera, camcorder, and computer-based image processing device to provide a user with an improved image.

[0002]

2. Description of the Related Art In a conventional image processing apparatus, when it is attempted to increase the saturation of a background screen on a TV screen by increasing the saturation without considering the characteristics of the input image, the saturation of the skin of the person is also increased. As the color increases, the skin color of the characters becomes over-saturated and unnatural. In addition, the conventional image enhancement system has a problem that it is difficult to control the image quality of the display device using the test image by processing the input data without considering the test image.

[0003]

SUMMARY OF THE INVENTION Therefore, an object of the present invention is to adaptively adjust the saturation of an input image in consideration of the characteristics of the input image in order to solve the above problems of the prior art. A color image saturation adjustment apparatus and method are provided. Another object of the present invention is to provide an apparatus and method for adjusting the saturation of a color image, in which the skin color of the input image is maintained and the saturation of other color regions is improved to give the user a more natural color impression. It is to be. It is still another object of the present invention to provide a color image saturation adjustment apparatus and method that can control the image quality of a video device by allowing the input image to pass through without being adjusted, when the input image is a test image. .

[0004]

In order to solve the above technical problems and to achieve the above objects of the present invention, an apparatus for adjusting the saturation of a color image according to the present invention comprises a pixel of an input image. A saturation calculator for calculating respective saturation values, a peak saturation calculator for calculating a peak saturation corresponding to the maximum saturation of the input image using the calculated saturation values, A peak gain calculation unit that calculates a peak gain based on the peak saturation calculated by the peak saturation calculation unit;
And a saturation control unit that adaptively adjusts the saturation of the input image using the peak gain calculated by the peak gain calculation unit.

In order to achieve the above-mentioned other object of the present invention,
The apparatus for adjusting the saturation of a color image according to the present invention comprises a saturation calculator for calculating a saturation value of each pixel of an input image, and the input image using the calculated saturation value. A peak saturation calculator that calculates a peak saturation corresponding to the maximum saturation of the peak saturation, a peak gain calculator that calculates a peak gain based on the peak saturation calculated by the peak saturation calculator, and the input image Is a predetermined pattern image, and a pattern gain calculation unit that calculates a pattern gain corresponding to the predetermined pattern image, a peak gain calculated by the peak gain calculation unit and the pattern gain calculation unit. And a saturation control unit that adaptively adjusts the saturation of the input image by using the pattern gain.

According to another aspect of the present invention, there is provided an apparatus for adjusting the saturation of a color image according to the present invention, a saturation calculation method for calculating a saturation value of each pixel of an input image. A peak saturation calculator that calculates a peak saturation corresponding to the maximum saturation of the input image using the calculated saturation value; and a peak saturation calculated by the peak saturation calculator. A peak gain calculation unit that calculates a peak gain based on the above, and a color gain calculation unit that determines whether or not each pixel of the input image corresponds to a predetermined color region, and calculates a color gain corresponding to this. A saturation control unit that adaptively adjusts the saturation of the input image based on the peak gain calculated by the peak gain calculation unit and the color gain calculated by the color gain calculation unit.

According to another aspect of the present invention, an apparatus for adjusting the saturation of a color image according to the present invention comprises a saturation calculation method for calculating a saturation value of each pixel of an input image. A peak saturation calculation unit that calculates a peak saturation corresponding to the maximum saturation of the input image using the calculated saturation value, and a peak saturation calculated by the peak saturation calculation unit. A peak gain calculation unit for calculating a peak gain based on the above, a pattern gain calculation unit for determining whether or not the input image is a selected pattern value image, and calculating a pattern gain corresponding thereto, A color gain calculator for determining whether each pixel of the input image corresponds to a predetermined color region and calculating a color gain corresponding to the pixel, a peak gain calculated by the peak gain calculator, Pattern gain calculation In including calculated pattern gain and a saturation control unit for adjusting the saturation adaptively the input image pixel by the color gain calculated by the color gain calculator.

In order to achieve the above object of the present invention, an apparatus for adjusting the saturation of a color image according to the present invention comprises a saturation calculator for calculating a saturation value of each pixel of an input image. An average saturation calculator that calculates an average saturation of the input image using the calculated saturation value, and an average that calculates an average gain based on the average saturation calculated by the average saturation calculator. A gain calculating unit calculates a local gain for each pixel based on the average gain obtained by the average gain calculating unit and the saturation information of each pixel calculated by the saturation calculating unit, and calculates the local gain according to the calculated local gain. And a saturation control unit that adaptively adjusts the saturation of the input image pixel.

To achieve the above object of the present invention, an apparatus for adjusting the saturation of a color image according to the present invention comprises a saturation calculator for calculating a saturation value of each pixel of an input image. An average saturation calculator that calculates an average saturation of the input image using the calculated saturation value, and an average that calculates an average gain based on the average saturation calculated by the average saturation calculator. A gain calculator, a pattern gain calculator that determines whether or not the input image has a predetermined pattern, and calculates a pattern gain corresponding to the input image; an average gain calculated by the average gain calculator; The local gain for each pixel is calculated according to the saturation value of the pixel calculated by the saturation calculator, and the saturation of the input image pixel is adapted according to the calculated local gain and the pattern gain calculated by the pattern gain calculator. Target And a saturation control unit for adjusting.

To achieve the above object of the present invention, a device for adjusting the saturation of a color image according to the present invention comprises a saturation calculator for calculating a saturation value of each pixel of an input image. An average saturation calculator that calculates an average saturation of the input image using the calculated saturation value, and an average that calculates an average gain based on the average saturation calculated by the average saturation calculator. A gain calculator, a color gain calculator that determines whether each pixel of the input image corresponds to a predetermined color region, and calculates a color gain corresponding to the pixel, and an average gain calculator. The local gain for each pixel is calculated according to the calculated average gain and the saturation value of the pixel calculated by the saturation calculator, and the input image is calculated according to the calculated local gain and the color gain calculated by the color gain calculator. Suitable for pixel saturation And a saturation control unit for adjusting manner.

To achieve the above object of the present invention, an apparatus for adjusting the saturation of a color image according to the present invention comprises a saturation calculator for calculating a saturation value of each pixel of an input image. An average saturation calculator that calculates an average saturation of the input image using the calculated saturation value, and an average that calculates an average gain based on the average saturation calculated by the average saturation calculator. A gain calculation unit, a pattern gain calculation unit that determines whether the input image is a selected pattern value image and calculates a pattern gain corresponding to the selected pattern value image, and each pixel of the input image has a predetermined value. A color gain calculation unit that determines whether or not the color region corresponds and calculates a color gain corresponding to the color region, an average gain calculated by the average gain calculation unit, and a pixel calculated by the saturation calculation unit. For each pixel by the saturation value of A local gain is calculated, and a color for adaptively adjusting the saturation of the input image pixel according to the calculated local gain, the pattern gain calculated by the pattern gain calculation unit, and the color gain calculated by the color gain calculation unit. And a degree control unit.

To achieve the above object of the present invention, an apparatus for adjusting the saturation of a color image according to the present invention comprises a saturation calculator for calculating a saturation value of each pixel of the input image. A peak saturation calculation unit that calculates a peak saturation corresponding to the maximum saturation of the input image using the saturation value calculated by the saturation calculation unit, and a peak calculated by the peak saturation calculation unit. A peak gain calculation unit that calculates a peak gain based on saturation, an average saturation calculation unit that calculates an average saturation of an input image using the saturation value calculated by the saturation calculation unit, and the average An average gain calculation unit that calculates an average gain based on the average saturation calculated by the saturation calculation unit, an average gain obtained by the average gain calculation unit, and the saturation of the pixel calculated by the saturation calculation unit. Calculate the local gain for each pixel by value and calculate The and a saturation control unit for adjusting the saturation of the input image pixel adaptively by the peak gain locally calculated gain and the peak gain calculator.

To achieve the above object of the present invention, an apparatus for adjusting the saturation of a color image according to the present invention comprises a saturation calculator for calculating a saturation value of each pixel of an input image. A peak saturation calculation unit that calculates a peak saturation corresponding to the maximum saturation of the input image using the saturation value calculated by the saturation calculation unit, and a peak calculated by the peak saturation calculation unit. A peak gain calculation unit that calculates a peak gain based on saturation, an average saturation calculation unit that calculates an average saturation of an input image using the saturation value calculated by the saturation calculation unit, and the average An average gain calculation unit that calculates an average gain based on the average saturation calculated by the saturation calculation unit, and whether or not the input image is a predetermined pattern value image, and a pattern gain corresponding to this is determined. A pattern gain calculation unit for calculating The local gain for each pixel is calculated according to the average gain calculated by the unit and the saturation value of the pixel calculated by the saturation calculating unit, and the calculated local gain and the peak gain calculated by the peak gain calculating unit are calculated. ,
And a saturation control unit that adaptively adjusts the saturation of the input image pixel according to the pattern gain calculated by the pattern gain calculation unit.

To achieve the above object of the present invention, an apparatus for adjusting the saturation of a color image according to the present invention comprises a saturation calculator for calculating a saturation value of each pixel of an input image. A peak saturation calculation unit that calculates a peak saturation corresponding to the maximum saturation of the input image using the saturation value calculated by the saturation calculation unit, and a peak calculated by the peak saturation calculation unit. A peak gain calculation unit that calculates a peak gain based on saturation, an average saturation calculation unit that calculates an average saturation of an input image using the saturation value calculated by the saturation calculation unit, and the average An average gain calculation unit that calculates an average gain based on the average saturation calculated by the saturation calculation unit, and an average gain calculation unit that calculates an average gain based on the average saturation calculated by the average saturation calculation unit And each pixel of the input image corresponds to a predetermined color area. It is determined whether or not the color gain corresponding to the color gain is calculated, and the average gain calculated by the average gain calculation unit and the saturation of each pixel calculated by the saturation calculation unit. The local gain for each pixel is calculated according to the information, and the saturation of the input image pixel is calculated according to the calculated local gain, the peak gain calculated by the peak gain calculator, and the color gain calculated by the color gain calculator. And a saturation control unit that adjusts adaptively.

To achieve the above object of the present invention, an apparatus for adjusting the saturation of a color image according to the present invention comprises a saturation calculator for calculating a saturation value of each pixel of an input image. A peak saturation calculation unit that calculates a peak saturation corresponding to the maximum saturation of the input image using the saturation value calculated by the saturation calculation unit, and a peak calculated by the peak saturation calculation unit. A peak gain calculation unit that calculates a peak gain based on saturation, an average saturation calculation unit that calculates an average saturation of an input image using the saturation value calculated by the saturation calculation unit, and the average An average gain calculation unit that calculates an average gain based on the average saturation calculated by the saturation calculation unit, and determines whether the input image is a selected pattern value image,
A pattern gain calculation unit for calculating a pattern gain corresponding thereto, and a color gain calculation for judging whether or not each pixel of the input image corresponds to a predetermined color region, and calculating a color gain corresponding thereto. And a local gain for each pixel according to the average gain calculated by the average gain calculation unit and the saturation value of the pixel calculated by the saturation calculation unit, and the calculated local gain and the peak gain calculation. And a saturation control unit for adaptively adjusting the saturation of the input image pixel according to the peak gain calculated by the unit, the pattern gain calculated by the pattern gain calculation unit, and the color gain calculated by the color gain calculation unit. including.

To achieve the above object of the present invention, a saturation adjusting method for adjusting the saturation of a color image according to the present invention comprises: (a) calculating a saturation value of each pixel of an input image; And (b) calculating a peak saturation corresponding to the maximum saturation of the input image using the calculated saturation value, and (c) determining a peak gain based on the calculated peak saturation. And a step of (d) adaptively adjusting the saturation of the input image using the peak gain calculated in the step (c).

In order to achieve the above object of the present invention, a saturation adjusting method for adjusting the saturation of a color image according to the present invention comprises: (a) calculating a saturation value of each pixel of an input image. And (b) calculating a peak saturation corresponding to the maximum saturation of the input image using the calculated saturation value, and (c) a peak based on the calculated peak saturation. Calculating a gain, (c2) determining whether the input image is a predetermined pattern value image, calculating a pattern gain corresponding to the image, and (d) the step (c). Adaptively adjusting the saturation of the input image using the calculated peak gain and the pattern gain calculated in the step (c2).

In order to achieve the above object of the present invention, a saturation adjusting method for adjusting the saturation of a color image according to the present invention comprises: (a) calculating a saturation value of each pixel of an input image. And (b) calculating a peak saturation corresponding to the maximum saturation of the input image using the calculated saturation value, and (c) a peak based on the calculated peak saturation. Calculating a gain, (c3) determining whether each pixel of the input image corresponds to a predetermined color region, and calculating a color gain corresponding to the pixel.
And (d) adaptively adjusting the saturation of the input image based on the peak gain calculated in the step (c) and the color gain calculated in the step (c3).

In order to achieve the above object of the present invention, a saturation adjusting method for adjusting the saturation of a color image according to the present invention comprises: (a) calculating a saturation value of each pixel of an input image. And (b) calculating a peak saturation corresponding to the maximum saturation of the input image using the calculated saturation value, and (c) a peak based on the calculated peak saturation. Calculating a gain, and (c2) determining whether the input image is a selected pattern value image,
A pattern gain calculation unit that calculates a pattern gain corresponding to this, and (c3) determines whether each pixel of the input image corresponds to a predetermined color region, and calculates a color gain corresponding to this. And the saturation of the input image based on step (d), the peak gain calculated in step (c), the pattern gain calculated in step (c2), and the color gain calculated in step (c3). And adaptively adjusting.

To achieve the above object of the present invention, a method for adjusting the saturation of a color image according to the present invention comprises:
(A) calculating a saturation value of each pixel of the input image, (b) calculating an average saturation of the input image using the calculated saturation value, and (c1) calculating the average saturation. Calculating an average gain based on the average saturation, and (d) the average gain obtained in the step (c1) and the saturation information of the pixel obtained in the step (a), Calculating the gain and adaptively adjusting the saturation of the input image pixel according to the calculated local gain.

To achieve the above object of the present invention, a method for adjusting the saturation of a color image according to the present invention comprises:
(A) calculating a saturation value of each pixel of the input image; (b) calculating an average saturation of the input image using the calculated saturation value; and (c1) the Calculating an average gain based on the calculated average saturation, and
(C2) determining whether the input image is a predetermined pattern value image and calculating a pattern gain corresponding thereto, and (d) an average gain calculated in the step (c) and The local gain for each pixel is calculated according to the saturation value of the pixel calculated in step (a), and the saturation of the input image pixel is adapted according to the calculated local gain and the pattern gain calculated in step (c2). And the step of adjusting manually.

To achieve the above object of the present invention, in the method for adjusting the saturation of a color image according to the present invention, (a) calculating a saturation value of each pixel of the input image; ) Calculating an average saturation of the input image using the calculated saturation value; (c1) calculating an average gain based on the calculated average saturation;
3) determining whether each pixel of the input image corresponds to a predetermined color region and calculating a color gain corresponding to the pixel, and (d) an average calculated in the step (c1). Calculating a local gain for each pixel according to the gain and the saturation value of each pixel calculated in the step (a),
Adaptively adjusting the saturation of the input image pixel according to the calculated local gain and the color gain calculated in the step (c3).

To achieve the above object of the present invention, a method for adjusting the saturation of a color image according to the present invention comprises:
(A) calculating a saturation value of each pixel of the input image, (b) calculating an average saturation of the input image using the calculated saturation value, and (c1) calculating the average saturation. Calculating an average gain based on the average saturation, and (c2)
Determining whether the input image is a selected pattern value image and calculating a pattern gain corresponding thereto, (c3) each pixel of the input image corresponds to a predetermined color region. And determining the color gain corresponding thereto, and (d) the average gain calculated in the step (c1) and the saturation value of the pixel calculated in the step (a). The local gain for each pixel is calculated, and the saturation of the input image pixel is adapted according to the calculated local gain, the pattern gain calculated in the step (c2), and the color gain calculated in the step (c3). And the step of adjusting manually.

To achieve the above object of the present invention, a method for adjusting the saturation of a color image according to the present invention comprises:
(A) calculating a saturation value of each pixel of the input image; and (b) calculating a peak saturation corresponding to the maximum saturation of the input image using the calculated saturation value. ,
(C) calculating a peak gain based on the calculated peak saturation, (b1) calculating an average saturation of the input image using the calculated saturation value, and (c)
1) calculating an average gain based on the calculated average saturation, and (d) the average gain obtained in the step (c1) and the saturation value of the pixel calculated in the step (a). Calculating a local gain for each pixel and adaptively adjusting the saturation of the input image pixel according to the calculated local gain and the peak gain calculated in the step (c).

To achieve the above object of the present invention, a method for adjusting the saturation of a color image according to the present invention comprises:
(A) calculating a saturation value of each pixel of the input image; and (b) calculating a peak saturation corresponding to the maximum saturation of the input image using the calculated saturation value. ,
(C) calculating a peak gain based on the calculated peak saturation, (b1) calculating an average saturation of the input image using the calculated saturation value, and (c1)
Calculating an average gain based on the calculated average saturation; and (c2) determining whether the input image is a predetermined pattern value image and calculating a pattern gain corresponding thereto. And (d) calculating a local gain for each pixel according to the average gain calculated in the step (c1) and the saturation value of the pixel calculated in the step (a),
Adaptively adjusting the saturation of the input image pixel according to the calculated local gain, the peak gain calculated in the step (c), and the pattern gain calculated in the step (c2).

To achieve the above object of the present invention, a method for adjusting the saturation of a color image according to the present invention comprises:
(A) calculating a saturation value of each pixel of the input image; and (b) calculating a peak saturation corresponding to the maximum saturation of the input image using the calculated saturation value.
(C) calculating a peak gain based on the calculated peak saturation, (b1) calculating an average saturation of the input image using the calculated saturation value, and (c1)
Calculating an average gain based on the calculated average saturation, and (c3) determining whether each pixel of the input image corresponds to a predetermined color region, and determining the corresponding color gain. And (d) calculating a local gain for each pixel according to the average gain calculated in the step (c1) and the saturation value of the pixel calculated in the step (a), and calculating the calculated local Gain, a peak gain calculated in the step (c), and a color gain calculated in the step (c3), and adaptively adjusting the saturation of the input image pixel.

To achieve the above object of the present invention, a method for adjusting the saturation of a color image according to the present invention comprises:
(A) calculating a saturation value of each pixel of the input image; and (b) calculating a peak saturation corresponding to the maximum saturation of the input image using the calculated saturation value. ,
(C) calculating a peak gain based on the calculated peak saturation, (b1) calculating an average saturation of the input image using the calculated saturation value, and (c)
1) calculating an average gain based on the calculated average saturation, and (c2) determining whether or not the input image is a selected pattern value image and determining a pattern gain corresponding thereto. And (c3) determining whether each pixel of the input image corresponds to a predetermined color region,
Calculating a corresponding color gain, and (d) calculating a local gain for each pixel according to the average gain calculated in the step (c1) and the saturation value of the pixel calculated in the step (a). Then, the color gain of the input image pixel is calculated according to the calculated local gain, the peak gain calculated in the step (c), the pattern gain calculated in the step (c2), and the color gain calculated in the step (c3). Adjusting the degree adaptively.

[0028]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT A preferred embodiment of the present invention will now be described in detail with reference to the accompanying drawings. FIG. 1 is a view showing a schematic structure of a saturation adjusting device according to a preferred embodiment of the present invention. Referring to FIG. 1, the saturation adjusting apparatus according to the present invention includes a frame memory unit 110, a saturation calculating unit 120, a histogram calculating unit 130, a peak saturation calculating unit 140, a peak gain calculating unit 150, and a final gain calculating unit 16.
0, and a saturation adjustment unit 170 is included.

The input video signal is transferred to the frame memory unit 1
10, the saturation calculator 120 stores the data in the frame memory 1
Saturation information S (x, for each pixel stored in 10
Calculate y). The histogram calculation unit 130 calculates a saturation histogram for all pixels of the image or a local window from the saturation information of each pixel S (x, y) obtained by the saturation calculation unit 120. The peak saturation calculation unit 140 calculates a peak saturation value s _peak from the histogram obtained by the histogram calculation unit 130, and the peak gain calculation unit 15
At 0, the peak gain value g _peak is calculated from the calculated peak saturation value s _peak . Calculated peak gain g
_peak and selectively applied system gain g _enh
And a gain value g to be applied to the pixel through the _user adjusted gain g _user . The determined gain g is calculated on the input pixel signal YCbCr (x, y) to obtain the final output value YCbCr _enh (x, y) having the adjusted saturation value.

An embodiment according to the present invention will be described below with reference to FIGS. 1 to 3. After the input video signal is stored in the frame memory 110, the saturation calculator 120
Calculates the saturation value S (x, y) for each pixel input from the frame memory 110. In the embodiment according to the present invention, the saturation value S (x, y) corresponds to the pixel signal YCbCr
ITU-R BT. 709-4, after conversion as shown in the following formula 1, the RGB signal is obtained by the method shown in formula 2.

[0031]

[Equation 1]

Here, a, b, c and d are conversion coefficients.

[Equation 2]

Where S is the normalized saturation value,
It has a value between [0, 1], and when implementing hardware,
When having an integer format of [0,100], a histogram as shown in FIG. 2 can be obtained by accumulating saturation values for every pixel. At this time, in determining S, Max [R, G,
If B] is very small or large, image noise is taken into consideration and therefore it is not accumulated in the histogram.

As shown in FIG. 2, the peak saturation calculation unit 140 obtains a value corresponding to 0.5% of the total number of pixels from the maximum saturation based on the histogram obtained by the histogram calculation unit 130, and calculates the peak saturation. Determine as the _frequency value s _peak . Here, 0.5% is a value in which noise of the input image is taken into consideration, and can be varied depending on the noise level.

The peak gain calculator 150 calculates the peak saturation.
Peak saturation value s determined by the calculation unit 140_peakAnd figure
And the peak gain value g_peakDecide
To do. The gain function of FIG. 3 has a peak saturation value s_peakIs 1
Is the peak gain g _peakIs 0,
Saturation value s_peakGains from 1 to 0.5
Value g_peakIncreases linearly and the peak saturation value s
_peakDecreases from 0.5 to 0, and gradually decreases to 0
By being converged, it is possible to match the input image with a gray tendency.
It is possible to reduce excessive gains.

In the final gain calculation unit 160, the peak saturation value s _peak obtained by the peak gain calculation unit 150 according to the following Equation 3 and the additionally provided system setting gain g _enh and the user-adjusted gain. _Is applied to the input image with g _user to obtain the final gain function g.

[0037]

[Equation 3]

Here, the new gain coefficient g_enhIs
It is a system setting gain and adjusts the color image improvement strength.
It g_enhWhen is 0, there is no effect of improving the image quality.
Ku, g _enhIf the value is larger than 1, the image quality will be improved.
Strength increases. The value that is usually set as the default is about
0.5 to 1, which is a visual test targeting a large number of observers.
It is set through the

The _guser is similar to the color adjuster "color" in the existing color TV receiver. When g _user is 0, the output image is a gray image, and g
saturation of about video _{use r} is greater than 1 is increased,
The value that is usually set as the default is 1, which indicates a standard color image.

The saturation adjusting section 170 has a final gain calculating section 16
The final gain g obtained by 0 is applied to the color signals Cb and Cr of the original pixel by Equation 4 to output the YCbCr _enh (x, y) signal that is the signal whose saturation is adjusted.

[0041]

[Equation 4]

When the saturation adjustment is performed on all the pixels of the frame in this way, the color improvement and equalization processing for one frame is completed. The form of the gain function shown in FIG. 3 can be replaced with various functions having no discontinuity in some cases.

Another embodiment according to the present invention will be described below with reference to FIGS. Frame memory 11
0, the saturation calculation unit 120, the histogram calculation unit 130, the peak saturation calculation unit 140, and the peak gain calculation unit 150 perform the same functions as in the previous embodiment, and thus detailed description thereof will be omitted. The peak saturation calculator 140 is the histogram calculator 1
The peak saturation value is determined from the histogram shown in FIG. 2 obtained in step 30, and the peak gain calculation unit 150 calculates the peak gain value from the gain function shown in FIG.

The pattern gain calculation unit 180 may be a test pattern image or a monotone type, for example, a bird flying in the blue sky,
It is used to detect images such as dusk and reflect this in the gain value. The test pattern image and the monotone image have a characteristic that a high frequency component is relatively very strong when observed in a histogram area as compared with a general natural image. In consideration of such a point, in the saturation region, all histogram intervals (i = 0, ... N−
For 1), the absolute value of the difference signal of the (i, i + 1) pixel count number H (i) of the adjacent chroma is calculated, and the P value is calculated by taking the average for all the sections.

[0045]

[Equation 5]

The pattern gain g _P is obtained by the pattern gain function of FIG. 4 using the P value obtained by the above equation 5.
In the gain function of FIG. 4, Th _Low and Th _High vary depending on where the maximum counter is standardized in the histogram. If the obtained P value is smaller than Th _Low, it corresponds to a general natural image (that is, continuous video). If the histogram is larger than Th _High (that is, a histogram in a discrete form), it corresponds to a test pattern image. Therefore, when the P value of the input image corresponds to a general natural image, the pattern gain g _{P is set} to 1, and when the P value of the input image corresponds to a test pattern type image, the pattern gain g _{P is set} to 0. , Do not adjust the saturation of the original image.

In addition, the input video is Th _Low and Th.
If it has a P value between _High and
The pattern gain g _p is decreased in inverse proportion to the P value, as shown in FIG. 4, because an excessive increase in chromaticity of a monotone image may rather deteriorate the image quality of the image. Since such a pattern detection algorithm has strong resistance to noise, it is highly reliable and the process is simple in practical applications.

In the final gain calculation section 160, the following Equation 6 is used.
The peak gain value calculated by the peak gain calculation unit 150
And the pattern gain calculated by the pattern gain calculation unit 180.
Profit g _PValue and g of additionally provided system setting gain
_enhAnd g of user adjustment gain _userApply to input image with
To obtain the final gain function g.

[0049]

[Equation 6]

The saturation adjusting section 170 has a gain function calculating section 16
The final gain g obtained by 0 is applied to the color signals Cb and Cr of the original pixel by Equation 4 to output the YCbCr _enh (x, y) signal that is the signal whose saturation is adjusted. When the saturation adjustment processing is performed on all the pixels of the frame in this way, the color improvement and equalization processing for one frame is completed. In some cases, the form of the gain function shown in FIG. 4 can be replaced with various functions having no discontinuity.

Another embodiment according to the present invention will be described below with reference to FIGS. 1, 5 and 6. Since the frame memory 110, the saturation calculation unit 120, the histogram calculation unit 130, the peak saturation value calculation unit 140, and the peak gain calculation unit 150 of FIG. 1 perform the same functions as in the previous embodiment, detailed description thereof will be omitted. .

The skin color gain calculator 190 calculates the skin color gain value g _skin (x, y) according to whether each pixel of the input image belongs to the skin color region. In order to determine whether the pixel value input to the skin color gain calculation unit 190 belongs to the skin color area, the area to which the skin color belongs is YC.
It must be known where it is located in the bCr color space.

The method proposed by the present invention for determining whether or not the input pixel corresponds to the skin color area is described in Ellipsoi.
There are a method using a dal gain function and a method using a logical "AND" combination of gain functions corresponding to Y, Cb, and Cr signals. Both of these methods apply to any other color space, such as RGB, YUV, CIELAB, C.
It is also applicable to IELUV.

First, according to the method using the 3D ellipsoid shown in FIG. 5A, that is, the Ellipsoidal gain function, the average color values Ym and Cbm of the skin color area are expressed by the following Equation 7. , Crm as the origin coordinates of the ellipse in Equation 7, and the distribution of various skin colors on each axis is determined as the radii Yr, Cbr, Crr of the three axes of the elliptic equation.

[0055]

[Equation 7]

F (Y, Cb, C obtained from Equation 7)
r) value is used to obtain the skin color gain value g of the corresponding pixel
_{Induces skin} (x, y) but Y for a given pixel
If the f (Y, Cb, Cr) value for the CbCr value is smaller than r, it is determined to correspond to the skin color area. At this time, f
An ellipsoid with (Y, Cb, Cr) = r is represented by a kernel gamut as shown in FIG.
ut). Therefore, f (Y, Cb,
If the Cr) value is within the kernel gamut, it is determined that the input pixel corresponds to the skin color, and the skin color gain value g
Let _skin (x, y) be 0.

If the f (Y, Cb, Cr) value exceeds 1, this means that the skin color area is completely deviated.
An ellipsoid when the mathematical value of the boundary value is 1 is used as a boundary gamut as shown in FIG. 5B, and the skin color gain value g
Let _skin (x, y) be 1.

When the f (Y, Cb, Cr) value of the input pixel has a value between the kernel gamut and the boundary gamut, the change of the skin color due to the image source is taken into consideration and the continuity of the color is considered. In order to guarantee the following, as shown in FIG. 5C, the kernel gamut and the boundary gamut, that is,
The skin color gain value g _skin (x, y) of the input pixel is linearly increased between [r, 1] to (f (Y, Cb, Cr) −
r) / (1-r).

According to the second method for detecting the skin color, the gain function is separated for each signal in the skin color range as shown in FIGS. 6 (a), 6 (b) and 6 (c). After that, it is defined as the logic “AND” of this 3-gain function, and calculated by the following formula 8.

[0060]

[Equation 8]

For example, FIG. 6D shows the gain function g in the YCbCr-3D-color coordinate system when Y = 0.5.
_It shows _skin (Y, Cb, Cr). The skin color gain calculator 190 selectively uses both of the above methods to change the skin color gain value g _skin (x, y) depending on the color coordinates of the input pixel.
Ask for.

In the final gain calculation unit 160, the peak gain value g _peak obtained in the peak gain calculation unit 150 and the skin color gain g _skin obtained in the above are calculated by the following equation (9).
(X, y) and additionally provided system setting gain g
The final gain function g (x, y) to vary the color coordinates and color saturation of the pixels in and user adjusted gain _{g u ser enh} obtained.

[0063]

[Equation 9]

The saturation adjusting section 170 has a final gain calculating section 16
The final gain g (x, y) obtained by 0 is applied to the color signals Cb and Cr of the original pixel by the following formula 10 to obtain the YCbCr _enh (x, y) signal whose saturation is adjusted. Is output.

[0065]

[Equation 10]

When the saturation adjustment processing is performed on all the pixels of the frame in this way, the color improvement and equalization processing for one frame is completed.

Another embodiment according to the present invention will be described below with reference to FIGS. Frame memory 1 of FIG.
10, a saturation calculation unit 120, a histogram calculation unit 130,
A peak saturation value calculation unit 140, a peak gain calculation unit 150,
Since the pattern gain calculation unit 180 and the skin color gain calculation unit 190 perform the same functions as in the previous embodiment, detailed description thereof will be omitted.

In the final gain calculation section 160, the following equation 11
The peak gain value g _peak obtained by the peak gain calculator 150, the pattern gain g _P obtained above, and the skin color gain g _skin (x,
y), and additionally provided system setting gain g
_The final gain function g (x, y) that changes depending on the color coordinate and the saturation of the pixel is obtained by _enh and the _user- adjusted gain g _user .

[0069]

[Equation 11]

The saturation adjusting section 170 is a final gain calculating section 160.
The final gain g (x, y) obtained in step (4) is applied to the color signals Cb and Cr of the original pixel according to Equation 10 to output the YCbCr _enh (x, y) signal whose saturation is adjusted. .

Still another embodiment of the present invention will be described below with reference to FIGS. 2, 7 and 8. Frame memory 7
10, the saturation calculator 720 and the histogram calculator 730 perform the same functions as those of the embodiment of the present invention according to FIG. 1, and thus detailed description thereof will be omitted. The average saturation calculator 742
The average saturation value s _mean is determined from the histogram shown in FIG. 2 obtained by the histogram calculation unit 730.

The average gain calculator 752 calculates the average saturation.
Average saturation value s determined by the unit 742 _meanUsing
According to the gain function of FIG. 8A, the average gain value g_meanSeeking
It In the gain function of FIG. 8A, the average saturation value s of the input image is
_meanIs 0.5 or more, the average gain value g_mean
Is set to 0 and the original image is passed as it is, and the average saturation value is
The average gain value increases linearly from 0.5 to 0.25
To add. Also, the average saturation value s_meanFrom 0.25
Considering that the image tends to be gray as it approaches 0
Average gain value g_meanReduce.

The final gain calculator 760 calculates the average gain.
Average gain value s obtained by the unit 752 _meanAnd the chroma meter
From the saturation S (x, y) value of the pixel obtained by the calculation unit 720
Using the gain function of FIG. 8B, the gain for individual pixels
Value g_localCalculate (x, y). Here, FIG. 8B
The maximum value at the inflection point of the gain function of
Average gain value g obtained in 2_meanAnd Of FIG. 8B
Even with the gain function, the saturation of the pixel is considered in consideration of the image with the gray tendency.
As S (x, y) approaches 0 from the inflection point, g_{l ocal}
(X, y) decreases.

In calculating the gain value g _local (x, y) for an individual pixel, as shown in FIG. 8B,
For highly saturated pixels, the gain value g _local (x,
By making y) have a small value, the gamut mapping, which was a problem in general image processing, was minimized. Therefore, it is possible to avoid the gamut mapping block, which was a problem in conventional color image processing,
Color change due to gamut mapping can be prevented in advance.

Gain value g for each pixel
_In calculating _local (x, y), if there is no hardware constraint on the memory, the saturation calculator 720
If the data calculated in step 1 is stored in another memory and then used, more rapid processing is possible.

The final gain calculation unit 760 also calculates
2. The final gain function g that _{depends on} the color coordinates and the saturation of the pixel with the g _{lo cal} (x, y) value obtained above by 2 and the additionally provided system setting gain g _enh and _user adjustment gain g _user. Get (x, y).

[0077]

[Equation 12]

The saturation adjusting section 770 has a final gain calculating section 76.
The final gain g (x, y) obtained by 0 is applied to the color signals Cb and Cr of the original pixel by Expression 10 to output a YCbCr _enh (x, y) signal whose saturation is adjusted. To do. The form of the gain function shown in FIGS. 8A and 8B is
In some cases, it is possible to replace with various functions without discontinuities.

Another embodiment of the present invention will be described below with reference to FIGS. 4, 7 and 8. Frame memory 71
0, the saturation calculator 720, the histogram calculator 730, the average saturation calculator 742, the average gain calculator 752, and the pattern gain calculator 780 perform the same functions as those of the embodiment of the present invention according to FIGS. 1 and 7. , Its detailed description is omitted.

In the final gain calculation section 760,
G _local (x, y) value calculated from the average gain value g _mean calculated by the average gain calculation unit 752, and the pattern gain g calculated by the pattern gain calculation unit 780
_P value and additionally provided system setting gain g
_The final gain function g that changes depending on the color coordinates and the saturation of the pixel of the input image with _enh and the _user- adjusted gain g _user
Get (x, y).

[0081]

[Equation 13]

The saturation adjusting section 770 has a final gain calculating section 76.
The final gain g (x, y) obtained by 0 is applied to the color signals Cb and Cr of the original pixel by Expression 10 to output a YCbCr _enh (x, y) signal whose saturation is adjusted. To do.

Another embodiment of the present invention will be described below with reference to FIGS. Frame memory 710,
The saturation calculator 720, the histogram calculator 730, the average saturation calculator 742, the average gain calculator 752, and the color gain calculator 790 perform the same functions as those of the embodiment of the present invention according to FIGS. Detailed description is omitted.

In the final gain calculation section 760,
G _local (x, y) value calculated from the average gain value g _mean calculated by the average gain calculation unit 752, and the color gain g _skin calculated by the color gain calculation unit 790.
(X, y) values, and the final gain function g (x, y) that _{depends on} the color coordinates and the saturation of the pixels of the input image with the additionally provided system set gain g _enh and the _user adjusted gain g _user. ) Get.

[0085]

[Equation 14]

The saturation adjusting section 770 has a final gain calculating section 76.
The final gain g (x, y) obtained by 0 is applied to the color signals Cb and Cr of the original pixel by Expression 10 to obtain a YCbCr _enh (x, y) signal whose saturation is adjusted. Output.

Still another embodiment of the present invention will be described below with reference to FIG. The frame memory 710 of FIG.
The saturation calculator 720, the histogram calculator 730, the average saturation calculator 742, the average gain calculator 752, the pattern gain calculator 780, and the color gain calculator 790 perform the same functions as those in the previous embodiment, and thus their details will be described. Detailed description is omitted.

In the final gain calculation section 760,
The value g _local (x, y) obtained from the average gain value g _mean obtained by the average gain calculator 752, the pattern gain g _P obtained above, and the color gain g _skin (x, y obtained above). ), And additionally provided system set gain g _enh and user adjusted gain g _u
The final gain function g (x, y) that changes depending on the color coordinates and saturation of the pixel is obtained with _ser .

[0089]

[Equation 15]

The saturation adjusting section 770 has a final gain calculating section 76.
The final gain g (x, y) obtained by 0 is applied to the color signals Cb and Cr of the original pixel by Expression 10 to output a YCbCr _enh (x, y) signal whose saturation is adjusted. To do.

FIG. 9 is a diagram showing another embodiment of the present invention. Frame memory 910, saturation calculator 92
0, histogram calculation unit 930, peak saturation calculation unit 94
0, peak gain calculation unit 950, average saturation calculation unit 942,
Since the average gain calculator 952 performs the same function as the embodiment of the present invention according to FIGS. 1 and 7, detailed description thereof will be omitted.

The final gain calculator 960 calculates the peak gain value g _peak calculated by the peak gain calculator 950 and the average gain value s _mean calculated by the average gain calculator 952.
The gain value g _local for each pixel obtained from
The final gain function g (x, y) as shown in Equation 16 varies depending on the color coordinates and the saturation of the pixel with (x, y) and additionally provided system setting gain g _enh and _user adjustment gain g _user. ) Get.

[0093]

[Equation 16]

The saturation adjusting section 970 has a final gain calculating section 96.
The final gain g (x, y) obtained by 0 is applied to Cb and Cr which are the color signals of the original pixel by the formula 10 to output the YCbCr _enh (x, y) signal which is the signal whose saturation is adjusted. To do.

Another embodiment of the present invention will be described below with reference to FIG. Frame memory 910, saturation calculation unit 920, histogram calculation unit 930, peak saturation calculation unit 940, peak gain calculation unit 950, average saturation value calculation unit 9
42, the average gain calculator 952, and the pattern gain calculator 980 perform the same functions as those of the embodiment of the present invention shown in FIGS. 1 and 7, and their detailed description will be omitted.

In the final gain calculation section 960,
Peak gain value s _mean obtained by the peak gain calculation unit 950 and g _local (x, y) obtained from the average gain value g _mean obtained by the average gain calculation unit 952
Value, the pattern gain g _P value obtained by the pattern gain calculation unit 980, and the color coordinates and saturation of the pixel of the input image based on the additionally provided system setting gain g _enh and the _user adjustment gain g _user. Final gain function g
Get (x, y).

[0097]

[Equation 17]

The saturation adjusting section 970 has a gain function calculating section 96.
The final gain g (x, y) obtained by 0 is applied to the color signals Cb and Cr of the original pixel by Expression 10 to output the YCbCrenh (x, y) signal of which the saturation is adjusted. .

Still another embodiment of the present invention will be described below with reference to FIG. Frame memory 910, saturation calculator 92
0, histogram calculation unit 930, peak saturation calculation unit 94
0, peak gain calculation unit 950, average saturation value calculation unit 94
2, average gain calculation unit 952, color gain calculation unit 990
Perform the same function as the embodiment of the present invention according to FIGS. 1 and 7, and a detailed description thereof will be omitted.

In the final gain calculation section 960,
The local gain g _local (x, y) value and color gain for each pixel obtained from the peak gain value g _peak obtained by the peak gain calculation unit 950 and the average gain value g _mean obtained by the average gain calculation unit 952 by Calculator 9
Varies by the color coordinates and color saturation of the pixels of the input image and the color gain _g skin (x, y) of _{g enh} the user adjusts the system gain setting gain provided and additionally _{g use r} obtained in 90 Obtain the final gain function g (x, y).

[0101]

[Equation 18]

The saturation adjusting section 970 has a final gain calculating section 96.
The final gain g (x, y) obtained by 0 is applied to the color signals Cb and Cr of the original pixel by Expression 10 to output a YCbCr _enh (x, y) signal whose saturation is adjusted. To do.

Another embodiment of the present invention will be described below with reference to FIG. Frame memory 910, saturation calculator 9
20, histogram calculation unit 930, peak saturation calculation unit 9
40, peak gain calculator 950, average saturation calculator 94
2, average gain calculation unit 952, pattern gain calculation unit 98
0 and the color gain calculator 990 perform the same functions as those of the embodiment of the present invention according to FIGS. 1 and 7, and thus detailed description thereof will be omitted.

The final gain calculating section 960 calculates each pixel from the peak gain value g _peak calculated by the peak gain calculating section 950 and the average gain value g _mean calculated by the average gain calculating section 952 by the following mathematical expression 19. Local gain g _local (x, y) value for the color gain calculator 99
0, the skin color gain value g _skin (x, y) obtained by 0, and the pattern gain g _P obtained by the pattern gain calculation unit 980.
Value and g of additionally provided system setting gain
_The final gain function g that changes depending on the color coordinates and the saturation of the pixel of the input image with _enh and the _user- adjusted gain g _user
Get (x, y).

[0105]

[Formula 19]

The saturation adjusting section 970 has a final gain calculating section 96.
The final gain g (x, y) obtained by 0 is applied to the color signals Cb and Cr of the original pixel by Expression 10 to output a YCbCr _enh (x, y) signal whose saturation is adjusted. To do.

INDUSTRIAL APPLICABILITY The saturation adjusting apparatus and method according to the present invention can be applied to a wide range of fields related to improving the image quality of a video signal.
That is, it can be applied to TVs, monitors, computer systems, digital cameras, and camcorders.

The preferred embodiments have been disclosed above in the drawings and specification. Although specific terms have been used herein, they are merely used to describe the present invention and are intended to limit the meaning of the invention and the scope of the invention as claimed. Not used. Therefore, those skilled in the art can understand that various modifications and equivalent other embodiments are possible. Therefore, the true technical protection scope of the present invention should be determined by the technical idea of the claims.

[0109]

As described above, the present invention has the effect of improving the image quality of the entire image by adaptively adjusting the saturation of the output image using the information extracted from the input image. . Particularly, by detecting the peak saturation and the average saturation of the input image and correcting the saturation of the input image based on the detected peak saturation and average saturation information, the saturation is high, that is, If the color quality of the image is excellent, the input image is allowed to pass through, and if the saturation is low, the saturation of the entire image is increased. This has the effect of automatically maintaining a certain chromaticity level by equalizing the increase / decrease in inter-frame saturation of moving images and the difference in saturation between TV channels that may appear during transmission or on hardware.

Further, by detecting the test pattern images and passing the test pattern images as they are without adjusting the saturation, it is possible to control the image quality of the display device using the test pattern images, and By detecting whether or not the color corresponds to the skin color area and suppressing the supersaturation phenomenon of the skin color, there is an effect of facilitating the adjustment of the saturation in another color area, for example, the background screen.

By applying the gain value obtained from the input image information only to the color signals Cb and Cr of the image, the saturation can be adjusted while maintaining the brightness as it is, and each pixel can be calculated when the gain value is calculated. By considering the saturation of 1, the unnecessary gamut-mapping block is removed, and the distortion of the saturation can be prevented in advance, so that the hardware can be configured more easily.

Further, when the gain value is calculated, the gain value is adaptively reduced for a gray-oriented image,
It has the effect of maintaining the gray balance.

[Brief description of drawings]

FIG. 1 is a view showing a saturation adjusting device according to an embodiment of the present invention.

FIG. 2 is a diagram showing a saturation histogram according to the present invention.

FIG. 3 is a diagram showing a gain function for obtaining a peak gain according to the present invention.

FIG. 4 is a view showing a saturation adjusting device according to another embodiment of the present invention.

FIG. 5 is a diagram showing a gain function for obtaining a color gain according to the present invention.

FIG. 6 is a diagram showing a gain function for obtaining a color gain according to the present invention.

FIG. 7 is a view showing a saturation adjusting device according to another embodiment of the present invention.

FIG. 8A is a diagram showing a gain function for obtaining an average gain and a local gain according to the present invention.

FIG. 8B is a diagram showing a gain function for obtaining an average gain and a local gain of the present invention.

FIG. 9 is a view showing a saturation adjusting device according to another embodiment of the present invention.

[Explanation of symbols]

110 frame memory 120 Saturation calculator 130 Histogram calculator 140 Peak saturation calculator 150 Peak gain calculator 160 Final gain calculator 170 Saturation adjustment section 180 Pattern gain calculator 190 Skin color gain calculator (color gain calculator)

   ─────────────────────────────────────────────────── ─── Continued front page    F-term (reference) 5B057 BA02 CA01 CA08 CA12 CA16                       CB01 CB08 CB12 CB16 CC01                       CE17 CE18 CH08                 5C066 AA03 CA17 EB01 EB03 GA01                       GA02 GA05 KD07                 5C077 LL19 MP08 PP32 PP34 PP37                       PP43 PQ12 PQ19 SS06 TT09                 5C079 HB01 HB04 HB11 LA02 LB01                       MA11 MA17 NA03 PA05

Claims (93)

[Claims] 1. An apparatus for adjusting the saturation of a color image, comprising: a saturation calculator for calculating the saturation value of each pixel of an input image; and using the calculated saturation value. A peak saturation calculator that calculates a peak saturation corresponding to the maximum saturation of the input image; a peak gain calculator that calculates a peak gain based on the peak saturation calculated by the peak saturation calculator; And a saturation control unit that adaptively adjusts the saturation of an input image by using the peak gain calculated by the peak gain calculation unit. 2. The saturation adjusting device further includes a histogram calculating unit for obtaining a saturation histogram of an input image using the saturation value calculated by the saturation calculating unit, and the peak saturation calculating unit. The saturation adjusting device according to claim 1, wherein the unit calculates peak saturation using the saturation histogram calculated by the histogram calculating unit. 3. The saturation calculator calculates an input video signal as RG.
2. The saturation adjusting device according to claim 1, wherein the saturation is calculated for each pixel by converting to a B signal and calculating a ratio of a sum and a difference of a minimum value and a maximum value of the RGB signal. 4. The input video signal of the saturation calculator is YCb.
4. The saturation adjusting device according to claim 3, wherein the saturation adjusting device is one of Cr, YUV, and YIQ type signals. 5. The saturation adjustment device uses the saturation histogram when the maximum value of RGB of an input pixel processed by the saturation calculation unit is less than a predetermined value or more than a predetermined value. The saturation adjustment device according to claim 2, wherein the saturation adjustment device does not accumulate in the histogram at the time of calculation. 6. An apparatus for adjusting the saturation of a color image, comprising: a saturation calculator for calculating the saturation value of each pixel of the input image; and using the calculated saturation value. A peak saturation calculator that calculates a peak saturation corresponding to the maximum saturation of the input image; a peak gain calculator that calculates a peak gain based on the peak saturation calculated by the peak saturation calculator; A pattern gain calculation unit that determines whether the input image is a predetermined pattern image and calculates a pattern gain corresponding to the pattern image, a peak gain calculated by the peak gain calculation unit, and the pattern gain calculation unit. And a saturation controller that adaptively adjusts the saturation of an input image by using the calculated pattern gain. 7. A device for adjusting the saturation of a color image, comprising a saturation calculator for calculating the saturation value of each pixel of the input image, and using the calculated saturation value. A peak saturation calculator that calculates a peak saturation corresponding to the maximum saturation of the input image; a peak gain calculator that calculates a peak gain based on the peak saturation calculated by the peak saturation calculator; A color gain calculator that determines whether each pixel of an input image corresponds to a predetermined color area and calculates a color gain corresponding to the pixel, a peak gain calculated by the peak gain calculator, and the color gain. And a saturation control unit for adaptively adjusting the saturation of the input image based on the color gain calculated by the gain calculation unit. 8. The saturation adjusting device further includes a pattern gain calculator that determines whether the input image is a selected pattern image and calculates a pattern gain corresponding to the input pattern image. The saturation adjusting device of claim 7, wherein the saturation controller adaptively adjusts the saturation of the input image pixel in consideration of the pattern gain. 9. The saturation adjusting device according to claim 6, wherein the selected pattern image is a test pattern image. 10. The pattern gain calculation unit obtains absolute values of adjacent saturation difference signals, obtains an average for all of these sections, and calculates a pattern gain using the calculated average value. 9. The saturation adjusting device according to claim 6 or 8. 11. The pattern gain calculator determines that the input image is a predetermined image when the calculated average value is larger than a first threshold value, and determines that the input image is a natural image when it is smaller than a second threshold value. 11. The saturation adjusting device according to claim 10, wherein the determination is made and the corresponding pattern gain is output. 12. The saturation adjusting device according to claim 7, wherein the predetermined color region is a skin color region. 13. The color gain calculation unit uses the average value of the skin color area as the center of the three-dimensional ellipsoidal function, and determines the error range due to at least one of various races or systems as the radius of each axis. 13. The saturation adjusting apparatus according to claim 12, wherein it is determined whether the input pixel corresponds to a skin color region according to a result value of the expression, and a color gain corresponding to the determined pixel is output. 14. The color gain calculator calculates a color gain for a YCbCr value of an input pixel,
9. The method according to claim 7, wherein it is determined whether or not the input pixel corresponds to a predetermined color region by using a gain function separated for each of Y, Cb, and Cr values. Saturation adjustment device. 15. The saturation adjusting device calculates an average saturation of an input image using the saturation value calculated by the saturation calculating section, and the average saturation calculating section. And an average gain calculation unit that calculates an average gain based on the average saturation calculated in, the saturation control unit is calculated by the average gain obtained by the average gain control unit and the saturation control unit. The local gain for each pixel is calculated according to the saturation value of the selected pixel, and the saturation of the input image pixel is adaptively adjusted according to the calculated local gain and the peak gain. The saturation adjusting device according to any one of claims 6 to 8. 16. The average gain calculator determines whether the average saturation falls within a saturation range of a first saturation value or lower and a saturation range of a second saturation value or higher higher than the first saturation value. The saturation adjustment according to claim 15, wherein the average gain value is smaller than the average gain value when the average saturation falls between the first saturation value and the second saturation value. apparatus. 17. The saturation control unit controls the saturation value of each pixel into a saturation range equal to or lower than a first saturation value and a saturation range equal to or higher than a second saturation value greater than the first saturation value. The local gain value in the corresponding case is smaller than the local gain value in the case where the saturation value of each pixel falls between the first saturation value and the second saturation value. Item 16. The saturation adjusting device according to Item 16. 18. The peak gain calculation unit determines that the peak saturation corresponds to a saturation range equal to or lower than a first saturation value and a saturation range equal to or higher than a second saturation value greater than the first saturation value. 7. The peak gain value is set to be smaller than the peak gain value when the peak saturation falls between the first saturation value and the second saturation value. Item 10. The saturation adjusting device according to any one of items 8. 19. The peak saturation calculation unit determines, as the peak saturation, a saturation value corresponding to a fixed range of the total number of pixels from the maximum saturation when calculating the peak saturation. The saturation adjusting device according to any one of claims 6 to 8. 20. The saturation adjusting device further includes a histogram calculating unit for obtaining a histogram for the saturation of the input image using the saturation value calculated by the saturation calculating unit, and the peak saturation. 9. The saturation adjusting device according to claim 6, wherein the calculating unit calculates the peak saturation using the saturation histogram calculated by the histogram calculating unit. 21. The histogram calculation unit selectively calculates a saturation histogram for an entire frame of an input image or a saturation histogram for pixels within a window of a selected range. Saturation adjustment device. 22. The saturation control unit adaptively adjusts the saturation of an input image in consideration of at least one of a system setting gain and a user adjustment gain. The saturation adjusting device according to any one of claims 6 to 8. 23. An apparatus for adjusting the saturation of a color image, wherein a saturation calculator for calculating the saturation value of each pixel of the input image, and the saturation value calculated using the calculated saturation value. An average saturation calculator that calculates the average saturation of the input image, an average gain calculator that calculates an average gain based on the average saturation calculated by the average saturation calculator, and an average gain calculator. The local gain for each pixel is calculated according to the calculated average gain and the saturation information of each pixel calculated by the saturation calculation unit, and the saturation of the input image pixel is adaptively adjusted according to the calculated local gain. A saturation adjustment device comprising: a saturation control unit. 24. The saturation adjusting device further includes a histogram calculation unit for obtaining a saturation histogram of an input image using the saturation value calculated by the saturation calculation unit,
24. The saturation adjusting device according to claim 23, wherein the average saturation calculating unit calculates the average saturation from the saturation histogram calculated by the histogram calculating unit. 25. The saturation calculator calculates an input video signal as R.
24. The saturation adjusting apparatus according to claim 23, wherein the saturation is converted into a GB signal and the saturation of each pixel is obtained by the ratio of the sum and difference of the minimum and maximum values of the RGB signal. 26. The input video signal of the saturation calculator is YC.
26. The saturation adjusting device according to claim 25, wherein the saturation adjusting device is one of bCr, YUV, and YIQ type signals. 27. The saturation adjusting device uses the saturation histogram when the maximum value of RGB of an input pixel processed by the saturation calculating unit is less than a predetermined value or more than a predetermined value. 26. The saturation adjusting device according to claim 25, which is not accumulated in the histogram at the time of calculating. 28. A color image saturation adjusting apparatus, wherein a saturation calculator for calculating a saturation value of each pixel of the input image, and an average of the input image using the calculated saturation value. An average saturation calculator that calculates a saturation, an average gain calculator that calculates an average gain based on the average saturation calculated by the average saturation calculator, and whether the input image has a predetermined pattern. Pattern gain calculation unit for calculating the pattern gain corresponding to this, and the average gain calculated by the average gain calculation unit and the saturation value of the pixel calculated by the saturation calculation unit. And a saturation control unit that adaptively adjusts the saturation of the input image pixel according to the calculated local gain for the pixel and the pattern gain calculated by the pattern gain calculation unit. You Saturation adjustment device. 29. A device for adjusting the saturation of a color image, wherein a saturation calculator for calculating the saturation value of each pixel of the input image, and the saturation value calculated using the calculated saturation value. An average saturation calculator that calculates an average saturation of the input image, an average gain calculator that calculates an average gain based on the average saturation calculated by the average saturation calculator, and an individual pixel of the input image Determines whether or not corresponds to a predetermined color region, and calculates a color gain corresponding to the color gain calculation unit, an average gain obtained by the average gain calculation unit and the saturation calculation unit. Saturation for adaptively adjusting the saturation of the input image pixel according to the calculated local gain and the color gain calculated by the color gain calculation unit according to the calculated saturation value of the pixel. With a control unit Saturation adjusting device, characterized in that. 30. A pattern gain calculation unit for determining whether the input image has a predetermined pattern and calculating a pattern gain corresponding to the predetermined pattern, wherein the saturation control unit sets the pattern gain together. The saturation adjusting unit of claim 29, wherein the saturation of the input image pixel is adaptively adjusted in consideration. 31. The saturation adjusting device according to claim 28, wherein the predetermined pattern image is a test pattern image. 32. The pattern gain calculation unit obtains absolute values of adjacent saturation difference signals, obtains an average for all of these intervals, and calculates a pattern gain using the calculated average value. Claim 28 or Claim 3 characterized by the above-mentioned.
The saturation adjusting device according to item 0. 33. The pattern gain calculator determines that the input image is a predetermined image when the calculated average value is larger than a first threshold value, and determines that the input image is a natural image when it is smaller than a second threshold value. 33. The saturation adjusting device according to claim 32, which determines and outputs a pattern gain corresponding thereto. 34. The saturation adjusting device according to claim 29, wherein the predetermined color region is a skin color region. 35. The color gain calculator determines the average value of the skin color area as the center of the three-dimensional ellipsoidal function, and the error value according to various races and systems as the radius of each axis. 35. The saturation adjusting device according to claim 34, wherein it is determined whether or not the input pixel corresponds to a skin color area and a corresponding color gain is output. 36. The color gain calculator calculates a color gain for a YCbCr value of an input pixel,
31. The method according to claim 29 or 30, wherein it is determined whether or not an input pixel corresponds to a predetermined color region by using gain functions separated for Y, Cb and Cr values. Saturation adjustment device. 37. The average gain calculator determines whether the average saturation falls within a saturation range equal to or lower than a first saturation value and a saturation range equal to or higher than a second saturation value greater than the first saturation value. 29. The average gain value is smaller than the average gain value when the average saturation falls between the first saturation value and the second saturation value. Item 33. The saturation adjusting device according to any one of items 30. 38. The saturation control unit controls the saturation value of each pixel into a saturation range equal to or lower than a first saturation value and a saturation range equal to or higher than a second saturation value higher than the first saturation value. The local gain value in the corresponding case is smaller than the local gain value in the case where the saturation value of each pixel falls between the first saturation value and the second saturation value. Item 23, Item 2
The saturation adjusting device according to any one of claims 8 to 30. 39. The saturation adjusting device according to claim 38, wherein the maximum value of the local gain values is an average gain obtained by the average gain calculator. 40. The saturation adjusting device further comprises a histogram calculator for obtaining a histogram for the saturation of the input image using the saturation value calculated by the saturation calculator, and the average saturation 31. The saturation adjusting device according to claim 28, wherein the calculator calculates the average saturation using the saturation histogram calculated by the histogram calculator. 41. The histogram calculation unit selectively calculates a saturation histogram for an entire frame of an input image or a saturation histogram for pixels within a window of a selected range. Saturation control device. 42. The saturation control unit adaptively adjusts the saturation of an input image in consideration of at least one of a system setting gain and a user adjustment gain. The saturation adjusting device according to any one of claims 28 to 30. 43. An apparatus for adjusting the saturation of a color image, comprising a saturation calculator for calculating the saturation value of each pixel of the input image, and the saturation value calculated by the saturation calculator. A peak saturation calculation unit that calculates a peak saturation corresponding to the maximum saturation of the input image, and a peak gain that calculates a peak gain based on the peak saturation calculated by the peak saturation calculation unit. A calculator, a pattern gain calculator that determines whether or not the input image is a selected pattern value image, and calculates a pattern gain corresponding to the selected pattern value image, and each pixel of the input image has a predetermined color. A color gain calculation unit that determines whether or not the region corresponds to the color gain, calculates a color gain corresponding to the region, a peak gain calculated by the peak gain calculation unit, and a pattern gain calculated by the pattern gain calculation unit. ,as well as And a saturation control unit that adaptively adjusts the saturation of the input image pixel according to the color gain calculated by the color gain calculation unit. 44. An apparatus for adjusting the saturation of a color image, comprising: a saturation calculator for calculating a saturation value of each pixel of an input image; and a saturation value calculated by the saturation calculator. An average saturation calculator that calculates the average saturation of the input image using the, and an average gain calculator that calculates an average gain based on the average saturation calculated by the average saturation calculator; A pattern gain calculator that determines whether or not the selected pattern value image and calculates a pattern gain corresponding to the selected pattern value image, and whether or not each pixel of the input image corresponds to a predetermined color region. A color gain calculation unit that calculates a color gain corresponding to the determination result, and an average gain calculated by the average gain calculation unit and a saturation value of the pixel calculated by the saturation calculation unit for each pixel. Calculate the local gain for And a saturation control unit for adaptively adjusting the saturation of the input image pixel according to the calculated local gain, the pattern gain calculated by the pattern gain calculation unit, and the color gain calculated by the color gain calculation unit. A saturation adjusting device characterized by: 45. An apparatus for adjusting the saturation of a color image, comprising a saturation calculator for calculating a saturation value of each pixel of an input image, and a saturation value calculated by the saturation calculator. A peak saturation calculation unit that calculates a peak saturation corresponding to the maximum saturation of the input image, and a peak gain that calculates a peak gain based on the peak saturation calculated by the peak saturation calculation unit. A calculation unit, an average saturation calculation unit that calculates an average saturation of the input image using the saturation value calculated by the saturation calculation unit, and an average saturation calculated by the average saturation calculation unit. An average gain calculation unit that calculates an average gain based on the input image; a pattern gain calculation unit that determines whether the input image is a selected pattern value image and calculates a pattern gain corresponding to the input pattern image; The individual pixels of the image are And a color gain calculation unit that calculates a color gain corresponding thereto, an average gain calculated by the average gain calculation unit, and a saturation value of the pixel calculated by the saturation calculation unit. The local gain for each pixel is calculated by the calculated local gain, the peak gain calculated by the peak gain calculation unit, the pattern gain calculated by the pattern gain calculation unit, and the color gain calculation unit. And a saturation control unit that adaptively adjusts the saturation of the input image pixel according to the color gain. 46. The saturation adjusting device as claimed in claim 43, wherein the selected pattern image is a test pattern image. 47. The saturation adjusting device according to claim 43, wherein the predetermined color region is a skin color region. 48. The saturation control unit adaptively adjusts the saturation of an input image in consideration of at least one of a system setting gain and a user adjustment gain. 46. The saturation adjusting device according to claim 45. 49. A claim 1, claim 6 to claim 8,
Claim 23, Claim 28 to Claim 30, Claim 43
46. A display device comprising the device according to any one of claims 45 to 45. 50. The display device comprises a digital T
The display device of claim 49, which is one of a V, a digital camera, and a camcorder. 51. Claims 1, 6 to 8,
Claim 23, Claim 28 to Claim 30, Claim 43
An image processing device comprising the device according to claim 45. 52. A saturation adjusting method for adjusting the saturation of a color image, comprising the steps of: (a) calculating a saturation value of each pixel of the input image; and (b) calculating the calculated saturation value. Calculating a peak saturation corresponding to the maximum saturation of the input image using the method, (c) calculating a peak gain based on the calculated peak saturation, and (d) the step (c). And a step of adaptively adjusting the saturation of the input image using the peak gain calculated in the step. 53. The step (c) includes a saturation range in which the peak saturation calculated in the step (b) is equal to or lower than a first saturation value, and a second saturation value greater than the first saturation value. The peak gain value in the case of falling within the saturation range of is the peak gain in the case where the peak saturation calculated in the step (b) falls between the first saturation value and the second saturation value. 53. The saturation adjusting method according to claim 52, which is smaller than the value. 54. The saturation adjusting method according to claim 52, wherein in step (c), a saturation value corresponding to a certain range of the total number of pixels from the maximum saturation is determined as a peak saturation. . 55. A saturation adjusting method for adjusting a saturation of an input image, comprising: (a) calculating a saturation value of each pixel of the input image; and (b) calculating the calculated saturation. Calculating a peak saturation corresponding to a maximum saturation of the input image using a value; (c) calculating a peak gain based on the calculated peak saturation; (c2) the input Determining whether the image is a predetermined pattern value image and calculating a pattern gain corresponding to the image, and (d) the peak gain calculated in the step (c) and the step (c2). And a step of adaptively adjusting the saturation of the input image by using the calculated pattern gain. 56. A saturation adjusting method for adjusting the saturation of a color image, comprising: (a) calculating a saturation value of each pixel of the input image; and (b) calculating the calculated saturation. Calculating a peak saturation corresponding to a maximum saturation of the input image using a value; (c) calculating a peak gain based on the calculated peak saturation; (c3) the input Determining whether each pixel of the image corresponds to a predetermined color region and calculating a color gain corresponding to the predetermined color region; and (d) the peak gain calculated in the step (c) and the ( c3) adaptively adjusting the saturation of the input image based on the color gain calculated in step c3). 57. The saturation adjusting method further comprises the step of: (c2) determining whether the input image is a selected pattern value image and calculating a pattern gain corresponding thereto. 57. The saturation adjusting method of claim 56, wherein in the step (d), the saturation of the input image is adaptively adjusted in consideration of the pattern gain calculated in the step (c2). 58. The saturation adjusting method of claim 55, wherein the predetermined pattern image in the step (c2) is a test pattern image. 59. In the step (c2), absolute values of adjacent saturation difference signals are calculated, an average is calculated for all of these sections, and a pattern gain is calculated using the calculated average value. 58. The saturation adjusting method according to claim 55 or 57. 60. In step (c2), if the calculated average value is greater than a first threshold value, the input image is determined to be a predetermined image, and if it is less than a second threshold value, it is determined as a natural image. 60. The saturation adjusting method according to claim 59, comprising determining and outputting a pattern gain corresponding thereto. 61. The saturation adjusting method according to claim 56, wherein in the step (c3), the predetermined color area is a skin color area. 62. In the step (c3), the average value of the skin color region is set as the center of the three-dimensional ellipsoidal function, and the error range due to at least one of various races or systems is set as a radius of each axis. 7. It is determined whether or not the input pixel corresponds to a skin color area according to the result value of the equation, and a color gain corresponding to this is output.
1. The saturation adjusting method described in 1. 63. The step (c3) comprises performing YC of the input pixel.
To calculate the color gain for the bCr value, Y, C
58. The saturation according to claim 56 or 57, wherein it is determined whether or not an input pixel corresponds to a predetermined color region by using gain functions separated for b and Cr values. Adjustment method. 64. The saturation adjusting method comprises: (b1) calculating an average saturation of the input image using the calculated saturation value; and (c1) calculating the average saturation. The method further includes calculating an average gain based on the average gain obtained in step (c1) and the saturation value of the pixel calculated in step (a) for each pixel. The local gain is calculated, and the saturation of the input image pixel is adaptively adjusted in consideration of the calculated local gain. Saturation adjustment method described in. 65. The step (c1) includes a saturation range in which the average saturation calculated in the step (b1) is less than or equal to a first saturation value and a second saturation value greater than or equal to the first saturation value. The average gain value in the case of falling within the saturation range of is the average gain when the average saturation calculated in the step (b1) falls between the first saturation value and the second saturation value. The saturation adjusting method according to claim 64, wherein the saturation adjusting method is smaller than the value. 66. In the step (d), a saturation range in which the saturation value of the input image pixel is less than or equal to a first saturation value and a saturation range in which the saturation value is greater than or equal to a second saturation value greater than the first saturation value. The local gain in the case of 1) has a gain value smaller than the local gain in the case where the saturation value of each pixel falls between the first saturation value and the second saturation value. 65. The saturation adjusting method according to claim 64. 67. In the step (c), the peak saturation is first.
The peak gain in the case where the saturation range is equal to or less than the saturation value and the saturation range is equal to or greater than the second saturation value that is greater than the first saturation value, the peak gain is equal to the first saturation value and the second saturation value. The saturation adjusting method according to any one of claims 55 to 57, wherein a gain value smaller than a peak gain in the case of a saturation value is included. 68. The peak saturation may be determined in step (b) by determining a saturation value corresponding to a certain range of the total number of pixels from the maximum saturation when the peak saturation is calculated. 58. The saturation adjusting method according to any one of 57 to 57. 69. The saturation adjusting method further includes a step (a1) for obtaining a histogram for the saturation of the input image using the saturation value calculated in the step (a), and (b). The saturation adjusting method according to any one of claims 52 and 55 to 57, wherein the step calculates peak saturation from the saturation histogram calculated in step (a1). 70. The method according to claim 69, wherein the step (a1) selectively calculates a saturation histogram for the entire frame of the input image or a saturation histogram for pixels in a window of the selected range. Saturation adjustment method described. 71. The method of claim 52, wherein the step (d) adaptively adjusts the saturation of the input image in consideration of at least one of a system setting gain and a user adjustment gain. , Any one of claims 55-57
Saturation adjustment method described in paragraph. 72. A method for adjusting the saturation of a color image, comprising the steps of: (a) calculating a saturation value of each pixel of the input image; and (b1) using the calculated saturation value. Calculating an average saturation of the input image; (c1) calculating an average gain based on the calculated average saturation; (d) an average gain obtained in the step (c1); a) calculating a local gain for each pixel according to the saturation information of the pixel obtained in step a, and adaptively adjusting the saturation of the input image pixel according to the calculated local gain. Saturation adjustment method. 73. A method for adjusting the saturation of a color image, comprising: (a) calculating a saturation value of each pixel of the input image; and (b1) using the calculated saturation value. And calculating an average saturation of the input image, (c1) calculating an average gain based on the calculated average saturation, and (c2) whether the input image is a predetermined pattern value image. Whether or not the pattern gain corresponding to this is calculated, and (d) the average gain calculated in the step (c1) and the saturation value of the pixel calculated in the step (a). And adjusting the saturation of the input image pixel adaptively according to the calculated local gain and the pattern gain calculated in the step (c2). Adjustment method. 74. A method for adjusting the saturation of a color image, comprising: (a) calculating a saturation value of each pixel of the input image; and (b1) using the calculated saturation value. Calculating an average saturation of the input image, (c1) calculating an average gain based on the calculated average saturation, and (c3) each pixel of the input image corresponds to a predetermined color region. Whether or not the color gain is calculated, and the corresponding color gain is calculated, and (d) the average gain calculated in the step (c1) and the color of each pixel calculated in the step (a). Calculating a local gain for each pixel according to the intensity value, and adaptively adjusting the saturation of the input image pixel according to the calculated local gain and the color gain calculated in the step (c3). And the saturation adjustment method. 75. The saturation adjusting method further comprises the step of: (c2) determining whether the input image is a selected pattern value image and calculating a pattern gain corresponding thereto. The method of claim 74, wherein the step (d) adaptively adjusts the saturation of the input image pixel in consideration of the pattern gain calculated in the step (c2). 76. The saturation adjusting method of claim 73, wherein, in the step (c2), the predetermined pattern image is a test pattern image. 77. In the step (c2), absolute values of adjacent saturation difference signals are calculated, an average is calculated for all of these sections, and a pattern gain is calculated using the calculated average value. 76. The saturation adjusting method according to claim 73 or 75. 78. In the step (c2), if the calculated average value is greater than a first threshold value, the input image is determined as a predetermined image pattern, and if it is less than a second threshold value, a natural image. The saturation adjustment method according to claim 77, wherein the pattern gain corresponding to the above is output. 79. The predetermined color area in step (c3) is a skin color area.
Saturation adjustment method described in. 80. In the step (c3), an average value of the skin color region is set as a center of the three-dimensional ellipsoidal function, and an error range due to at least one of various races or systems is set as a radius of each axis. 80. The saturation adjusting method according to claim 79, wherein it is determined whether the input pixel corresponds to a skin color region according to a result value of the expression, and a color gain corresponding to the determined pixel is output. 81. The step of (c3) comprises performing YC of the input pixel.
To calculate the color gain for the bCr value, Y, C
The saturation adjustment according to claim 74 or 75, wherein it is determined whether or not the input pixel corresponds to a predetermined color region by using gain functions separated for b and Cr values. Method. 82. In step (c1), the average saturation is first.
The average gain when the saturation range is equal to or less than the saturation value and the saturation range is equal to or greater than the second saturation value that is greater than the first saturation value is
The average saturation has a gain value smaller than an average gain when the average saturation falls between the first saturation value and the second saturation value. The method for adjusting saturation according to item 1. 83. The step (d) includes a saturation range in which the saturation value of the input image pixel is equal to or less than a first saturation value and a saturation range in which the saturation value is greater than or equal to a second saturation value and greater than the first saturation value. The local gain value in the case of is smaller than the local gain in the case where the saturation value of the input image pixel is between the first saturation value and the second saturation value. The saturation adjusting method according to any one of claims 72 to 75, wherein: 84. The saturation control method of claim 83, wherein the maximum of the local gain value is the average gain calculated in the step (c1). 85. The saturation adjusting method further comprises a step (a1) for obtaining a histogram of the saturation of the input image using the saturation value calculated in the step (a). The saturation adjusting method according to any one of claims 72 to 75, wherein in step b1), the average saturation is calculated from the saturation histogram calculated in step (a1). 86. The method of claim 85, wherein the step (a1) selectively calculates a saturation histogram for the entire frame of the input image or a saturation histogram for pixels within a window of the selected range. Saturation adjustment method described. 87. The saturation of the input image may be adaptively adjusted in consideration of at least one of a system setting gain and a user adjustment gain in the step (d). 75. The saturation adjusting method according to any one of 75 to 75. 88. A method for adjusting the saturation of a color image, comprising: (a) calculating a saturation value for each pixel of the input image; and (b) utilizing the calculated saturation value. Calculating a peak saturation corresponding to a maximum saturation of the input image; (c) calculating a peak gain based on the calculated peak saturation; and (c2) selecting the input image. Determining whether the image is a pattern value image and calculating a pattern gain corresponding to the image, and (c3) determining whether each pixel of the input image corresponds to a predetermined color region. Calculating the corresponding color gain, (d) the peak gain calculated in the (c) step, the pattern gain calculated in the (c2) step, and the (c)
3) adaptively adjusting the saturation of the input image pixel according to the color gain calculated in step 3). 89. A method for adjusting the saturation of a color image, comprising: (a) calculating a saturation value of each pixel of the input image; and (b1) utilizing the calculated saturation value. Calculating an average saturation of the input image; (c1) calculating an average gain based on the calculated average saturation; and (c2) whether the input image is a selected pattern value image. And determining the pattern gain corresponding thereto, and (c3) determining whether each pixel of the input image corresponds to a predetermined color area and determining the corresponding color. Calculating a gain, and (d) calculating a local gain for each pixel according to the average gain calculated in the step (c1) and the saturation value of the pixel calculated in the step (a). Local gain, in step (c2) above And a step of adaptively adjusting the saturation of the input image pixel according to the calculated pattern gain and the color gain calculated in the step (c3). 90. A method for adjusting the saturation of a color image, comprising: (a) calculating a saturation value of each pixel of the input image; and (b) utilizing the calculated saturation value. Calculating a peak saturation corresponding to the maximum saturation of the input image; (c) calculating a peak gain based on the calculated peak saturation; and (b1) the calculated saturation value. Calculating an average saturation of the input image, (c1) calculating an average gain based on the calculated average saturation, and (c2) a pattern value for which the input image is selected. Determining whether the image is an image and calculating a pattern gain corresponding to the image, and (c3) determining whether each pixel of the input image corresponds to a predetermined color region. Calculating the color gain corresponding to (d) before The local gain for each pixel is calculated according to the average gain calculated in the step (c1) and the saturation value of the pixel calculated in the step (a), and the calculated local gain is calculated in the step (c). Peak gain, the pattern gain calculated in the step (c2), and the (c
3) adaptively adjusting the saturation of the input image pixel according to the color gain calculated in step 3). 91. The saturation adjusting method as claimed in claim 88, wherein the pattern image selected in the step (c2) is a test pattern image. 92. The saturation adjusting method according to claim 88, wherein the predetermined color area of the area (c3) is a skin color area. 93. The method of claim 88, wherein the step (d) adaptively adjusts the saturation of the input image in consideration of at least one of a system setting gain and a user adjustment gain. 90. The saturation adjusting method according to any one of 90 to 90.